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Hi everyone! I’m exploring the FishBase API and was wondering if anyone has tips on efficiently querying large datasets for specific fish characteristics. Are there any recommended methods or examples for optimizing API requests?

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To efficiently query large datasets from FishBase, try these methods:

Filter Requests: Only request specific attributes (e.g., fish characteristics or family) to reduce the data load.
Pagination: Break down large datasets into smaller chunks to prevent timeouts.
Use Caching: Store frequently requested data for faster future access.
Error Handling: Prepare for query timeouts or failures to maintain smooth data retrieval.
These tips will help optimize your API requests and make data management more efficient.

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Hi! When working with the FishBase API, batching your queries and using filters effectively can really help reduce load times. Also, caching common results locally can improve efficiency if you're running repeated requests.

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Solid question! 🔥 Using query filters, pagination, and caching are game-changers for large API datasets. Also, FishBase’s official wrappers make life much easier—worth checking out!
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